DocuChat AI: An intelligent conversational tool, powered by RAG, seamlessly combining OpenAI, Langchain, and Milvus. Effortlessly answers document questions with a Gradio interface, no LLM fine-tuning required. Retrieves documents from a dynamic vector database for insightful conversations across formats.

DocuChat AI is an intelligent chatbot that allows users to upload documents (PDF, DOCX, etc.) and ask questions based on their content. It uses a Retrieval-Augmented Generation (RAG) pipeline with LangChain, ChromaDB for vector storage, Flask as the backend, and React for the frontend.

RAG DocuChat is a AI-powered backend service that enables WordPress (or any application) websites to provide intelligent, document-grounded customer support. Built on Retrieval-Augmented Generation (RAG), it indexes company-specific PDFs into Pinecone and allows users to chat with their documents in real time.

DocuChat AI (Offline RAG System) Tech Stack: Laravel 11, MySQL, Microsoft Foundry (Local LLM – Phi-3.5)

DocuChat AI is a full-stack Generative AI application that enables users to "chat" with PDF documents in real-time. Unlike basic wrappers, this project implements a Hybrid RAG (Retrieval Augmented Generation) architecture to deliver context-aware answers with sub-200ms latency.

A RAG-based application for querying multiple PDF documents using FastAPI, Next.js, LangChain, and ChromaDB.

Multi-Document RAG assistant with session-based isolation and citation mapping.

A Multi-Document RAG (Retrieval-Augmented Generation) Assistant using FastAPI, React, and LangChain with session-based isolation and source citations.

Multi-document RAG assistant with session-based isolation, page-level citations, and FastAPI/Next.js architecture.

DocuChat AI — Production Ready RAG PDF Chat Backend

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AI-powered document Q&A system using RAG. Upload documents, ask questions, get answers with citations and confidence scores. Built with TypeScript, React, PostgreSQL (pgvector), and OpenAI API.

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A privacy-first AI PDF Reader powered by Local LLaMA and RAG (Retrieval-Augmented Generation) — built with Streamlit for a smooth, minimal interface.

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A premium, AI-powered conversational agent capable of answering questions from uploaded documents (PDF/TXT) using Retrieval-Augmented Generation (RAG).

DocuChat AI – A RAG‑powered PDF chat application that lets you upload documents and ask questions, with cited page references and transparent source tracking.

DocuChat AI is an intelligent assistant powered by RAG (Retrieval-Augmented Generation) and LangChain that lets you interact with your documents in natural language. Instead of manually searching through files, simply ask questions, and DocuChat AI will fetch the most relevant content and give you clear, accurate answers.

DocuChat is a AI document chatbot built with Spring Boot, Spring AI, Docker and PGVector. It enables users to upload PDFs and chat with them using RAG architecture through a LLM offering fully private, cost-free enterprise AI.

DocuChat is an AI-powered chatbot that uses Retrieval-Augmented Generation (RAG) to provide accurate, context-aware answers from custom documents. Built with FastAPI, LangChain, ChromaDB, and Streamlit for seamless user interaction and intelligent document querying.

RAG DocuChat is a AI-powered backend service that enables WordPress (or any application) websites to provide intelligent, document-grounded customer support. Built on Retrieval-Augmented Generation (RAG), it indexes company-specific PDFs into Pinecone and allows users to chat with their documents in real time.

DocuChat is a powerful, AI-driven research assistant that lets users upload multiple PDF and DOCX files and explore them through natural language queries. Built with Streamlit and Google Gemini, it uses Retrieval-Augmented Generation (RAG) to deliver accurate summaries and context-aware responses from your documents.

DocuChat AI is a high-performance **Retrieval-Augmented Generation (RAG)** application that allows users to upload PDF documents and engage in natural language conversations with the content. Built with a modern tech stack, it provides precise answers with cited sources.React.js, Vite, Tailwind CSS,Pinecone (Cloud),FastAPIMongoDB Atlas.

DocuChat AI is a sophisticated Retrieval-Augmented Generation (RAG) web application that transforms static PDF documents into interactive conversational experiences. Built with React and powered by Google's Gemini 2.5 Flash, it allows users to upload multiple documents, ask complex cross-document questions, and receive accurate answers

DocuChat is an interactive chatbot application built with Streamlit and LangChain. It allows users to upload PDF documents and converse with them in real-time. The app uses PyMuPDF for parsing, Google Generative AI for embeddings, Chroma for in-memory vector storage, and Groq's Llama-3 for fast retrieval-augmented generation (RAG) capabilities.